Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

Geographical Weighted Regression (GWR) is a new local modellingtechnique for analysing spatial analysis. This technique allowslocal as opposed to global models of relationships to be measuredand mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatialanalysis.

* Provides step-by-step examples of how to use the GWR model usingdata sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics
* Contains a broad discussion of and basic concepts on GWR throughto ideas on statistical inference for GWR models
* uniquely features accompanying author-written software thatallows users to undertake sophisticated and complex forms of GWRwithin a user-friendly, Windows-based, front-end (see book fordetails).

Author: A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton
Publisher: Wiley
Published: 10/11/2002
Pages: 288
Binding Type: Hardcover
Weight: 1.47lbs
Size: 9.48h x 6.94w x 0.82d
ISBN: 9780471496168

About the Author
A. Stewart Fotheringham, Professor of Quantitative Geography, University of Newcastle. Chris Brunsdon, Senior Lecturer in Spatial Analysis, University of Newcastle. Martin Charlton, Lecturer in Geographical Information Systems, University of Newcastle.

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